How should data scientists communicate complex findings to non-technical stakeholders?

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Data scientists should communicate complex findings to non-technical stakeholders by focusing on clarity, relevance, and storytelling. Instead of technical jargon, use simple, concise language to explain key insights and their implications. Start with the business context—what question was asked and why it matters—then present the results in a way that directly ties to stakeholder goals.

Visualizations play a critical role: clear, intuitive charts and graphs can convey patterns and trends more effectively than raw numbers. However, visuals should be used purposefully—avoid cluttered or overly technical plots. Emphasize the "so what" by linking findings to potential actions, opportunities, or risks. Using analogies or real-world examples can also help translate abstract concepts into relatable ideas.

Finally, be prepared to answer questions and address concerns. Effective communication is a two-way process, and ensuring stakeholders understand the data builds trust and supports better decision-making.

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